媒体认知的层次化计算理论与模型  

Hierachical Computing Theory and Model for Media Understanding

作　　者：王蕴红[1] 薛建茹 黄华[2] 兰旭光[2] 张兆翔[1] 

机构地区：[1]北京航空航天大学 [2]西安交通大学

出　　处：《科技创新导报》2016年第1期175-175,共1页Science and Technology Innovation Herald

摘　　要：该研究在2013年围绕“课题计划任务书”中制定的年度研究内容全面开展工作,重点探讨了基于层次性和整体性表达的图像描述子,基于时空层次化表达的视频分析,面向整体感知的多层次特征融合机制和基于图理论的物体表征和匹配。在此基础上,考虑到媒体认知模型应该对实际视觉问题求解具有指导作用,该课题组本年度面向人脸检测、行为分析、静脉和步态识别等实际问题,对相关理论进行了应用示范,探讨所研究理论在不同的实际应用场景中的效果,并搭建了一系列验证平台予以验证。主要技术路线有：（1）基于层次性和整体性表达的图像描述方法;（2）基于时空层次化表达的视频分析;（3）基于面向整体感知的多层次特征融合机制;（4）基于图理论的物体表征和匹配几项。The issue surrounding the annual research＂project plan mission statement＂ in the development of fully operational in 2013, focuses on the level and integrity based on the expression of image descriptors, based on video analysis of spatial and temporal hierarchical expression for the overall perception of multi-level feature fusion mechanism and the object representation and matching based on graph theory. On this basis, taking into account the cognitive model of visual problem solving should have a guiding role for our group, we discuss the application of our theory on face detection, behavioral analysis, veins and gait recognition etc. And experimental results show the promising results. The main contents for this report can be explained in 4 parts：（1）Image description based on hierarchy and integrity;（2）video analysis based on hierarchical spatial and temporal expression;（3）multi-level feature fusion mechanism based on overall perception;（4）object presentation and matching based on graph.

关 键 词：媒体认知 层次性 物体识别 视频分析 图像匹配 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]